{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hourly Electricity Demand Data Heatmap by Week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import import_funcs\n",
    "#reload(import_funcs)\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.plotly as py\n",
    "from plotly.graph_objs import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>COST</th>\n",
       "      <th>NOTES</th>\n",
       "      <th>TYPE</th>\n",
       "      <th>UNITS</th>\n",
       "      <th>USAGE</th>\n",
       "      <th>timestamp_end</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-24 00:00:00</th>\n",
       "      <td> NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td> Electric usage</td>\n",
       "      <td> kWh</td>\n",
       "      <td> 0.04</td>\n",
       "      <td>2014-05-24 00:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-24 01:00:00</th>\n",
       "      <td> NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td> Electric usage</td>\n",
       "      <td> kWh</td>\n",
       "      <td> 0.07</td>\n",
       "      <td>2014-05-24 01:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-24 02:00:00</th>\n",
       "      <td> NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td> Electric usage</td>\n",
       "      <td> kWh</td>\n",
       "      <td> 0.04</td>\n",
       "      <td>2014-05-24 02:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-24 03:00:00</th>\n",
       "      <td> NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td> Electric usage</td>\n",
       "      <td> kWh</td>\n",
       "      <td> 0.04</td>\n",
       "      <td>2014-05-24 03:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-24 04:00:00</th>\n",
       "      <td> NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td> Electric usage</td>\n",
       "      <td> kWh</td>\n",
       "      <td> 0.05</td>\n",
       "      <td>2014-05-24 04:59:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    COST  NOTES            TYPE UNITS  USAGE  \\\n",
       "timestamp                                                      \n",
       "2014-05-24 00:00:00  NaN    NaN  Electric usage   kWh   0.04   \n",
       "2014-05-24 01:00:00  NaN    NaN  Electric usage   kWh   0.07   \n",
       "2014-05-24 02:00:00  NaN    NaN  Electric usage   kWh   0.04   \n",
       "2014-05-24 03:00:00  NaN    NaN  Electric usage   kWh   0.04   \n",
       "2014-05-24 04:00:00  NaN    NaN  Electric usage   kWh   0.05   \n",
       "\n",
       "                          timestamp_end  \n",
       "timestamp                                \n",
       "2014-05-24 00:00:00 2014-05-24 00:59:00  \n",
       "2014-05-24 01:00:00 2014-05-24 01:59:00  \n",
       "2014-05-24 02:00:00 2014-05-24 02:59:00  \n",
       "2014-05-24 03:00:00 2014-05-24 03:59:00  \n",
       "2014-05-24 04:00:00 2014-05-24 04:59:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the BGE hourly electricity data and weather data using import_funcs.py class\n",
    "old_apt = import_funcs.BGEdata(\"old apt\")\n",
    "new_apt = import_funcs.BGEdata(\"new apt\")\n",
    "weather = import_funcs.weather()\n",
    "\n",
    "# Merge into one Pandas dataframe\n",
    "old_apt_and_weather = pd.merge(weather,old_apt,left_index=True,right_index=True)\n",
    "new_apt_and_weather = pd.merge(weather,new_apt,left_index=True,right_index=True)\n",
    "#new_apt_and_weather = new_apt\n",
    "\n",
    "new_apt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-24</th>\n",
       "      <td> 0.04</td>\n",
       "      <td> 0.07</td>\n",
       "      <td> 0.04</td>\n",
       "      <td> 0.04</td>\n",
       "      <td> 0.05</td>\n",
       "      <td> 0.06</td>\n",
       "      <td> 0.04</td>\n",
       "      <td> 0.04</td>\n",
       "      <td> 0.45</td>\n",
       "      <td> 0.06</td>\n",
       "      <td>...</td>\n",
       "      <td> 0.27</td>\n",
       "      <td> 0.46</td>\n",
       "      <td> 0.21</td>\n",
       "      <td> 0.13</td>\n",
       "      <td> 1.48</td>\n",
       "      <td> 0.05</td>\n",
       "      <td> 0.47</td>\n",
       "      <td> 0.05</td>\n",
       "      <td> 0.36</td>\n",
       "      <td> 0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-25</th>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.07</td>\n",
       "      <td> 0.42</td>\n",
       "      <td> 0.07</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.07</td>\n",
       "      <td> 0.13</td>\n",
       "      <td> 0.31</td>\n",
       "      <td> 0.39</td>\n",
       "      <td> 0.47</td>\n",
       "      <td>...</td>\n",
       "      <td> 0.11</td>\n",
       "      <td> 0.12</td>\n",
       "      <td> 0.37</td>\n",
       "      <td> 2.79</td>\n",
       "      <td> 2.52</td>\n",
       "      <td> 3.44</td>\n",
       "      <td> 2.60</td>\n",
       "      <td> 2.15</td>\n",
       "      <td> 0.34</td>\n",
       "      <td> 0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-26</th>\n",
       "      <td> 0.15</td>\n",
       "      <td> 0.13</td>\n",
       "      <td> 0.12</td>\n",
       "      <td> 0.14</td>\n",
       "      <td> 0.13</td>\n",
       "      <td> 0.71</td>\n",
       "      <td> 3.13</td>\n",
       "      <td> 0.84</td>\n",
       "      <td> 1.10</td>\n",
       "      <td> 1.94</td>\n",
       "      <td>...</td>\n",
       "      <td> 0.20</td>\n",
       "      <td> 0.28</td>\n",
       "      <td> 0.13</td>\n",
       "      <td> 0.10</td>\n",
       "      <td> 0.46</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.26</td>\n",
       "      <td> 0.34</td>\n",
       "      <td> 0.10</td>\n",
       "      <td> 0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-27</th>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 1.04</td>\n",
       "      <td> 1.29</td>\n",
       "      <td> 0.23</td>\n",
       "      <td> 0.09</td>\n",
       "      <td>...</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 2.18</td>\n",
       "      <td> 3.34</td>\n",
       "      <td> 3.44</td>\n",
       "      <td> 5.36</td>\n",
       "      <td> 1.60</td>\n",
       "      <td> 1.89</td>\n",
       "      <td> 2.18</td>\n",
       "      <td> 1.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-28</th>\n",
       "      <td> 1.53</td>\n",
       "      <td> 1.44</td>\n",
       "      <td> 1.29</td>\n",
       "      <td> 0.52</td>\n",
       "      <td> 0.10</td>\n",
       "      <td> 0.12</td>\n",
       "      <td> 2.43</td>\n",
       "      <td> 0.10</td>\n",
       "      <td> 0.50</td>\n",
       "      <td> 0.08</td>\n",
       "      <td>...</td>\n",
       "      <td> 0.45</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.08</td>\n",
       "      <td> 0.09</td>\n",
       "      <td> 0.38</td>\n",
       "      <td> 2.10</td>\n",
       "      <td> 2.20</td>\n",
       "      <td> 2.69</td>\n",
       "      <td> 0.38</td>\n",
       "      <td> 0.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              0     1     2     3     4     5     6     7     8     9   ...   \\\n",
       "timestamp                                                               ...    \n",
       "2014-05-24  0.04  0.07  0.04  0.04  0.05  0.06  0.04  0.04  0.45  0.06  ...    \n",
       "2014-05-25  0.09  0.07  0.42  0.07  0.09  0.07  0.13  0.31  0.39  0.47  ...    \n",
       "2014-05-26  0.15  0.13  0.12  0.14  0.13  0.71  3.13  0.84  1.10  1.94  ...    \n",
       "2014-05-27  0.08  0.08  0.08  0.08  0.08  0.09  1.04  1.29  0.23  0.09  ...    \n",
       "2014-05-28  1.53  1.44  1.29  0.52  0.10  0.12  2.43  0.10  0.50  0.08  ...    \n",
       "\n",
       "              14    15    16    17    18    19    20    21    22    23  \n",
       "timestamp                                                               \n",
       "2014-05-24  0.27  0.46  0.21  0.13  1.48  0.05  0.47  0.05  0.36  0.07  \n",
       "2014-05-25  0.11  0.12  0.37  2.79  2.52  3.44  2.60  2.15  0.34  0.13  \n",
       "2014-05-26  0.20  0.28  0.13  0.10  0.46  0.09  0.26  0.34  0.10  0.08  \n",
       "2014-05-27  0.09  0.09  2.18  3.34  3.44  5.36  1.60  1.89  2.18  1.69  \n",
       "2014-05-28  0.45  0.09  0.08  0.09  0.38  2.10  2.20  2.69  0.38  0.11  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array = pd.DataFrame(np.zeros([len(new_apt['USAGE'].resample('d',how='sum')),24]),index=new_apt['USAGE'].resample('d',how='sum').index)\n",
    "\n",
    "for i in range(0,24):\n",
    "    array[i] = np.array(new_apt['USAGE'][new_apt.index.hour==i])\n",
    "\n",
    "array.sort_index(ascending=True, inplace=True)\n",
    "array.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3hvWmkD3/9l1kZ8TvAn4maff80YdfBa6VNDci/p63OYLskX3fGkB/pgGP1/18LHAXcJSk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Zkq+IiEjJlHxFRERKpuQrIiJSMiVfERGRkg334yVlI0SrDHb2xqUkrZVNgu1xiUxn78ow9vKD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\nREqm5CsiIlIyJV8REZGS/X+V9YK2ywEPZwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d43be90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.dates as mdates\n",
    "\n",
    "#sundays = pd.Series(array[array.index.dayofweek==0].index)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=[10,25])\n",
    "title('My Electricity Usage \\n', fontsize=18)\n",
    "plt.imshow(array, interpolation='none', cmap='YlGnBu')\n",
    "plt.tick_params(axis=\"both\", which=\"both\", bottom=\"on\", top=\"on\",\n",
    "                labelbottom=\"on\", labeltop='on', left=\"on\", right=\"off\", labelleft=\"on\") \n",
    "colorbar_ax = fig.add_axes([0.8, .375, .04, .25])\n",
    "cb = plt.colorbar(cax = colorbar_ax)\n",
    "cb.set_label('kilowatt-hours',fontsize = 16)\n",
    "\n",
    "xticks = range(0,24,4)\n",
    "yticks = range(0,len(array),7)\n",
    "\n",
    "ax.set_xticks(xticks)\n",
    "ax.set_yticks(yticks)\n",
    "ax.set_yticklabels(sundays.apply(lambda x: x.strftime('%B %d')), fontsize=14)\n",
    "ax.yaxis_date()\n",
    "\n",
    "#ax.yaxis.set_major_formatter(mdates.DateFormatter('%Y')) This didn't work for me\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "#fig.savefig('my_usage_heatmap.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = Data([\n",
    "    Heatmap(\n",
    "        x = range(0,24,1),\n",
    "        y = array.index,\n",
    "        z = np.array(array),\n",
    "        colorscale='YIGnBu',\n",
    "        reversescale=True)\n",
    "])\n",
    "layout = Layout(\n",
    "    title='YIGnBu',\n",
    "    yaxis = YAxis(autorange='reversed')\n",
    ")\n",
    "plot_url = py.plot(data, filename='YIGnBu-heatmap')\n",
    "#fig = Figure(data=data, layout=layout)\n",
    "#plot_url = py.plot(fig, filename='YIGnBu-heatmap')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
